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AIPD_vision_claim_one

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8051075

11860275

1. A method of processing a performance query to a dimensionally-modeled fact collection by processing dimension coordinates that exist within a dimensional data model, wherein facts of the dimensionally-modeled fact collection are accessible according to the dimensional data model and wherein the dimension coordinates have a first particular grain (“finer grain”) that is finer than a second particular grain (“coarser grain”), the method to determine an evaluative score for a particular value at the finer grain (“finer grain value”) based on performance facts for dimension coordinates associated with the particular finer grain value, the method comprising: determining at least one performance parameter, relative to a particular value at the coarser grain (“coarser grain value”), against which to measure the performance facts associated with the finer grain value, including processing temporal relationships of finer grain values to coarser grain values for the dimension coordinates, wherein processing the temporal relationships of finer grain values to coarser grain values includes processing data indicative of how relationships of the finer grain values to coarser grain values change over time and, based thereon, processing performance facts based on performance facts for dimension coordinates having the particular coarser grain value; determining the evaluative score for the particular finer grain value based on performance facts of dimension coordinates having the particular finer grain value, in view of the at least one determined performance parameter; wherein processing the temporal relationships of finer grain values to coarser grain values includes performing one or both of unfettering and disambiguation to account for a changing relationship of grains so that the evaluative score is adjusted to provide a different type of evaluation score than a score based on a static relationship of grain values; said disambiguation comprising remapping the correspondence of fine-grained entities to coarser-grained entities when required to remove an ambiguity in how a fine grained entity maps to a coarser grained entity; and said unfettering comprising re-expressing the constraint in terms of finer-grained entities of dimension coordinates satisfying an original, coarser-grained constraint when required to account for a time changing relationship between finer grains and coarser grains.

9280724

14104524

1. A pose classification apparatus comprising: a first image analyzer and a second image analyzer which are configured to estimate a body part for each pixel of an input image including a human body; a body part decider configured to calculate reliabilities of analysis results of the first image analyzer and the second image analyzer, and configured to decide the body part for each pixel of the input image based on the calculated reliabilities; and a pose estimator configured to estimate a pose of the human body included in the input image based on the decided body part for each pixel, wherein the first image analyzer and the second image analyzer each learn based on different data, and wherein the second image analyzer is a random forest classifier configured to learn at least a portion of poses based on a relatively larger amount of data than the first image analyzer, and which has a higher recognition rate of at least the portion of poses than the first image analyzer.

8454235

13070216

1. A radiographic imaging system comprising: an imaging apparatus which irradiates radiation from a radiation source onto a subject, takes a radiographic image of said subject by detecting radiation that penetrated said subject by means of a radiation detector, and outputs image data of said radiographic image; an image processing apparatus which performs image processing of at least one of an exposure field recognition process and a trimming process on the image data of the radiographic image taken by said imaging apparatus; an image processing information storage apparatus which stores the imaging conditions of said radiographic image and image processing information which indicates the image processing performed by said image processing apparatus and its applicable range in an associated manner; and an image processing information search apparatus which searches for image processing information associated with imaging conditions of past imaging that match the imaging conditions of the current imaging, among the image processing information of the past imaging stored in said image processing information storage apparatus; wherein: said imaging apparatus changes the range of radiation exposure irradiated from said radiation source in accordance with the applicable range of the image processing of the past imaging contained in the image processing information retrieved by said image processing information search apparatus.

20160189001

14692426

1. A computer-implemented method for classifying images using an electronic device, the method comprising: extracting parameters from each of the images via a processor of the electronic device; quantizing the parameters of each of the images to obtain quantization data of each of the images; and classifying the images according to the quantization data of each of the images.

5499194

08221239

1. A method of digitising a surface of a workpiece comprising the steps of: scanning the surface with a probe to produce a digitised coordinate data signal representing coordinates of a plurality of points on the workpiece surface; and filtering said coordinate data signal to reject portions of said coordinate data signal representing some of said points, wherein the filtering step comprises the steps of: selecting portions of said coordinate data signal representing first, second and third points, produced in that order, on the surface, creating a vector extending from the first point through the third point, determining whether said vector lies within a predetermined tolerance distance from the second point, and removing the portion representing the second point from said coordinate data signal to reject the second point if said vector lies within said tolerance distance.

20150287247

14671938

1. A method performed by data processing apparatus, the method comprising: obtaining a three-dimensional model of a first object; receiving an input identifying an additional component; generating a digital representation of the additional component; integrating the digital representation of the additional component with the three-dimensional model; and providing the three-dimensional model with the integrated digital representation to a 3D printer for fabrication.

20170182657

15430042

1. A robotic gripping system comprising: a robotic hand including, a plurality of displacement measuring cells configured to measure a contour of a surface in contact with the robotic hand, and a plurality of linear displacement sensors, each linear displacement sensor in series with a corresponding displacement measuring cell of the plurality of displacement measuring cells; and a processor configured to: compute a volume of an object based on measurements by the plurality of displacement measuring cells.

8536866

12679921

1. A magnetic resonance method comprising: acquiring a spatial map of Z-spectra that encompass the water center frequency using saturation power and duration selected such that the Z-spectra are not obscured by magnetization transfer and are dominated by direct water saturation effects so that the Z-spectra are substantially symmetric; and performing a symmetry analysis on the substantially symmetric Z-spectra to generate a spatial map of the water center frequency.

9704258

15241097

1. A depth map generating method comprising: dividing, through a processing component, a plurality of pixels of an image into a plurality of superpixels according to colors of the pixels; averaging, through the processing component, a plurality of depth values corresponding to the pixels within each of the superpixels to generate a plurality of average depth values corresponding to the superpixels; and generating, through the processing component, an aligned depth map relative to the superpixels of the image according to the average depth values.

8478601

12656541

1. A voice recognition apparatus comprising: a voice input element for inputting voice of an user; a voice pattern memory for storing a plurality of voice patterns respectively corresponding to a plurality of phrases, which are preliminary set; a voice recognition element for calculating a similarity degree between the voice and each of the voice patterns and determining the highest similarity degree so that one of the voice patterns corresponding to the highest similarity degree is recognized as the voice of the user; a display for displaying a recognition result corresponding to the one of the voice patterns; an execution determination element for executing a process according to the one of the voice patterns when a predetermined operation is input by the user after the display displays the recognition result; a load estimation element for estimating a load of the user; and a display controller for controlling the display based on a positive correlation between the estimated load and display repetition of the recognition result on the display.

7860854

10767216

1. An image processing system for searching images on a network, the image processing system comprising: (a) one or more processors; (b) a search engine configured to process images according to a matching algorithm; (c) an image analyzer coupled to said search engine, said image analyzer for comparing first and second images provided thereto from said search engine, wherein: the first image is associated with a first code associated with a first predetermined textual annotation, the second image is associated with a second code associated with a second predetermined textual annotation, the first code is descriptive of at least a region of the first image, the second code is descriptive of at least a region of the second image, and the image analyzer uses the matching algorithm for image analysis of the first and second images along with a comparison of the first and second codes in determining if the first and second images are likely to compare favorably, wherein: the matching algorithm comprises a plurality of factors related to matching that affect how the matching algorithm operates, the plurality of factors comprise at least one of parameters, characteristics, or constraints, either one or both of the first and second images is analyzed to identify a subset of the plurality of factors, and the matching algorithm is automatically tailored to either exclude or include the subset of the plurality of factors based upon one or both of: a determination of which factors are discriminating for either one or both of the first and second images, and information specific to a particular application.

8554816

12869342

1. A computer-implemented state filter comprising receiving, using a computer, a multivariate data set; receiving, using the computer, information about a particular signal state, wherein said information is represented by a state vector of interest; generating, using the computer, a set of orthonormal vectors from the multivariate data set that contains the state vector of interest; constructing, using the computer, a generalized set of matrices based upon the set of orthonormal vectors, that are trace-orthogonal and which serve as a basis set for expansion of a spectral matrix; forming, using the computer, a generalized Stokes vector from coefficients of the expansion, wherein the generalized Stokes vector that represents power in the spectral matrix associated with the state vector of interest; and constructing, using the computer, filters that serve to extract or suppress information about a particular state using components of the generalized Stokes vector.

20150243084

14612579

1. An image generating device comprising: a background image acquirer configured to acquire an image of a background on which an image of an object is to be superimposed; a color extractor configured to extract a color about one or a plurality of places in the image of the background; a light source decider configured to decide a color of light output by a light source that illuminates the object based on the color extracted about the one or plurality of places; a drawing section configured to draw the image of the object based on the decided color of the light of the light source; and an output image generator configured to generate an output image obtained by superimposing the image of the object on the image of the background.

9875540

14904309

1. A medical image processing system, comprising a computer which is configured to execute a computer-implemented medical image processing method of matching a medical image of an anatomical structure of a patient's body with an atlas-based representation of the anatomical structure, the medical image processing method comprising executing, on at least one processor of a computer, steps of: acquiring, by the at least one processor, patient image data describing a medical image representation of the anatomical structure in the medical image; determining, by the at least one processor and based on the patient image data, patient substructure data describing a plurality of patient substructure representations each describing a different patient substructure of the anatomical structure; acquiring, by the at least one processor, general substructure data describing a general substructure representation of each of a plurality of general substructures for each of the patient substructures; determining, by the at least one processor and for each of the patient substructures and based on the patient substructure data and the general substructure data, substructure matching data describing a matching general substructure representation which, without being deformed, matches the respective patient substructure representation; outputting, by the at least one processor and based on the general substructure data and the substructure matching data, anatomical structure atlas data describing an atlas representation of the anatomical structure; determining, by the at least one processor and based on the patient image data and the anatomical structure atlas data, matching transformation data describing an atlas-patient matching transformation between the medical image representation of the anatomical structure and the atlas representation of the anatomical structure.

8023691

11672330

1. A method of identifying locations on a map, wherein the map is to be displayed via a computer display, the method comprising: receiving data representing a first image; analyzing, using a processor, the data to obtain information steganographically encoded therein, wherein the information comprises or links to first location information associated with the first image, and wherein the information is steganographically encoded in the form of a digital watermark; providing a map including an area associated with the first location information, wherein the map is configured to be displayed via a computer display; and visually or graphically identifying a first location on the map that is associated with the first location information.

20170094235

15280882

1. A method of projecting text characters onto a textured surface, the method comprising: determining, from a captured image of the textured surface, a measure of the texture on the surface for a region of the textured surface over which the text characters are to be projected; selecting, based on a function of the determined measure, a glyph set, each glyph in the glyph set having visually contrasting inner and outer portions, the outer portion being sized proportionally to the inner portion according to the determined measure; and projecting the text characters onto the textured surface of the region using the selected glyph set.

20040128137

10168935

1. A voice actuated control system for controlling appliances comprising: a microphone for receiving audio signals; a speech recognition system for receiving audio signals; said speech recognition system having a low power sound activation mode for detecting the presence of audio signals and a speech recognition mode for decoding said audio signals and generating control signals for controlling one or more appliances, said speech recognition system including a circuit for switching between said sound activation mode and a speech recognition mode as a function of the amplitude of said audio signals; and an appliance control circuit which includes a transmitter, said appliance control unit for receiving said control signals from said speech recognition system and generating and transmitting an appliance control signal to a selected appliance.

20140270053

14348216

1. A computed tomography (CT) scanner, comprising: an x-ray source; an x-ray detector; and a computer system operatively coupled to the x-ray source and x-ray detector, and configured to perform the steps of: obtaining a patient size data; establishing a target noise equation, the target noise equation being a function of the patient size data; and applying the target noise equation against a measured noise equation, the measured noise equation being a function of the patient size data, to derive CT scan parameters for a given CT scan.

9298589

14629322

1. A computing system comprising: memory containing executable code; one or more processors, which, when executing the executable code, cause the computing system to perform a computer-implemented method of analyzing tracing data to identify functions for which tracing may be selectively enhanced or reduced, and wherein the computer-implemented method comprises: generating a visualization representing tracer data gathered by tracing an application with a tracer, said application comprising a plurality of functions; receiving a set of user interactions gathered during a user session with the visualization; identifying from said set of user interactions a first function as a low interest function; and said tracer thereafter tracing said first function at a reduced tracing level.

20090153669

12042156

1. A method for calibrating a camera comprising: (a) obtaining a two-dimensional (2D) homography that maps each of parallelograms projected onto images taken by arbitrary two cameras into a rectangle, wherein the 2D homography is defined as a rectification homography and wherein new cameras that have virtual images are defined as rectified cameras and a new infinite homography is generated between the two rectified cameras, the virtual images being transformed from original images using the rectification homography; (b) obtaining an original infinite homography by using the correlation among the new infinite homography, the rectification homography and the original infinite homography; and (c) obtaining intrinsic camera parameters based on the correlation between the original infinite homography and the intrinsic camera parameters, thereby calibrating the camera.

20140033300

14043230

1. A method for verifying an identity of a user accessing a user device, comprising: receiving a request to verify the user identity accessing the user device; receiving a plurality of multimedia identification signals from the user device; querying a deep-content-classification (DCC) system to find a match between at least one concept structure associated with the user and the plurality of received multimedia identification signals, wherein the concept structure is created during a sign-in procedure; and sending an authentication notification upon determination of a match between the at least one concept structure and the plurality of received multimedia identification signals.

20150347819

14375668

1. A computer-implemented method for training a deep learning neural network for compact face representations, the method comprising: presenting face images to the neural network; the neural network processing the face images to produce compact representations of the face images, wherein the compact representations have not more than 64 dimensions; processing the compact representations to produce estimates of a metric, for which actual values of the metric are known; and training the neural network based on the estimates of the metric compared to the actual values of the metric.

10130311

15158478

1. A system for patient user-specific rehabilitation, the system comprising: one or more processors and a non-transitory computer-readable medium having executable instructions encoded thereon such that when executed, the one or more processors perform operations of: monitoring, using a Mobile Patient Monitor (MPM), sensor data obtained from a plurality of sensors in real-time to generate a quantitative assessment of a physical state and a motivational state of a user; generating, using a Virtual Patient (VP) unit, predictions related to the user utilizing user-specific biomechanical and neurocognitive models implemented with predictive simulations; generating rehabilitation guidance using a Virtual Coach (VC) unit through real-time communication with the VP unit; registering, using an Augmented Reality (AR) unit, video feed of the user with sensor data from the MPM and a set of simulation data from the VP unit; and conveying rehabilitation guidance instructions to the user through dialog-based user-VC interactions; and a lightweight exoskeleton worn by the user configured to convey real-time rehabilitation guidance to the user.

8380959

12205702

1. A device comprising: a housing; a storage device disposed in the housing, the storage device including a plurality of executable applications stored therein and each executable application of the plurality of executable applications are assigned an allocation strategy from a plurality of different allocation strategies; a memory device disposed in the housing, wherein the memory space of the memory device is logically partitioned into at least a first group of one or more contiguous memory blocks, a second group of one or more contiguous memory blocks each smaller than the one or more memory blocks of the first group, and a memory heap containing memory blocks of varying sizes; and a processor disposed in the housing and configured to execute the plurality of applications stored in the storage device; wherein the device is configured to allocate memory, from at least one of a memory block of the first group, a memory block of the second group, or the memory heap, to at least one application of the plurality of executable applications upon execution of the at least one application by the processor, wherein the memory allocation is based on an allocation strategy assigned to the at least one application from the plurality of different allocation strategies, and the allocation strategy defines a prioritized order for the first group, the second group, and the memory heap.

20120094478

13331267

1. A method of making a semiconductor device, the method comprising: forming a layer over a substrate; forming a plurality of spaced apart features of imagable material over the layer; forming sidewall spacers on the plurality of features; filling a space between a first sidewall spacer on a first feature and a second sidewall spacer on a second feature with a filler feature; removing the sidewall spacers to leave the first feature, the filler feature and the second feature spaced apart from each other; and etching the layer using the first feature, the filler feature and the second feature as a mask.

20080317353

11849294

1. A method for searching images with figures, suitable for searching a plurality of images related to at least one figure in an image collection, the method comprising: an image analysis stage, comprising: comparing figures between images of an image collection and respectively assigning an identity to each of the figures; and respectively selecting a representative image for each of the identities in the image collection; and an image search stage, comprising: displaying the representative images; selecting one or a plurality of the representative images as a searching criterion; searching for the images matching the searching criterion in the image collection; and displaying the images matching the searching criterion.

8574157

11674854

1. A method for producing a three-dimensional image of an object, comprising: insonifying one or more regions of the object from source transducers external to the object using ultrasound energy; receiving return echoes from the object at receiving transducers external to the object; determining an error between image information that corresponds to at least the insonified regions of the object and is determined from the return echoes, and further image information that corresponds to the same regions and is derived from a deformable model echoes representative of the object; updating at least a portion of the model corresponding to the insonified regions of the object based on the return echoes and one or more other portions of the model based on a determined dynamics of the model responsive to the return echoes; wherein the dynamics of the deformable model provide an instantaneous condition of one or more mass elements and connectors between the mass elements in the deformable model based on the updates from the insonified regions; determining a beam steering direction using feedback from the updated model so as to identify and insonify one or more of the regions of the object where the determined error is higher than in other regions of the object and receiving further return echoes; generating a hybrid image of the object comprising object regions responsive to the updated model of the object and object regions responsive to the further return echoes.

20150339811

14716653

1. An electronic device, comprising: a processor configured to determine a haziness confidence level based on multiple modalities and to determine whether to perform an action based on the haziness confidence level.

8649431

12391518

1. A method of encoding an image comprising: creating a prediction block of a current block by performing one of intra prediction and inter prediction on the current block; determining n filters from a natural image based on a predetermined model; filtering the prediction block and pixels adjacent to the prediction block and included in a previously encoded region which is adjacent to the current block, to remove blocking artifacts from the prediction block, with the n filters, to obtain a filtered prediction block; and encoding the current block based on the filtered prediction block, wherein the natural image is comprised of a number of patterns, the number of n filters corresponds to the number of patterns in the natural image, and the filtering comprises repeatedly filtering the prediction block and the adjacent pixels with the n filters.

9672631

12866758

1. A method of automatically reconstructing a model of a branching tubular organ via a hybrid approach that defines endoluminal airway surfaces from a chest scan and segmentation data, the model being used to provide guidance to a user of an endoscope, the method comprising: receiving three-dimensional (3D) digital image data of a branching tubular organ and anatomy surrounding the branching tubular organ; automatically computing, on a processor, a conservative segmentation of the branching tubular organ from the digital image data; generating a collection of peripheral branches not identified in the conservative segmentation based on approximating cross sections of the peripheral branches shown in the digital image data as ellipses; adding or extending at least one of the peripheral branches identified in the generating step to the conservative segmentation; automatically constructing, on the processor, accurate endoluminal surfaces of the organ segmentation, including any of the peripheral branches that were added or extended to the conservative segmentation; producing a reconstructed graphical image as a comprehensive model of the branching tubular organ including the at least one of the peripheral branches that were added or extended by the adding step, wherein the at least one of the peripheral branches that were added or extended is capable of being manipulated; and displaying, on a display device, the comprehensive model containing the accurate luminal surfaces through the branching tubular organ including the added or extended peripheral branches.

8437054

11424290

1. A method for identifying a region of substantially uniform color in a digital image, said method comprising: in a computing system, determining a first plurality of select pixels surrounding an image-content edge in a digital image, wherein said determining a first plurality of select pixels comprises filtering said digital image, based on image classification information, to determine a plurality of text pixels located in a non-pictorial region of said digital image and, wherein said image classification information is a pictorial measure and an identification of a text candidate and said filtering comprises removing a text candidate when said text candidate is in a pictorial region of said digital image, wherein said text candidate comprises a pixel that is a portion of text; for said first plurality of select pixels, determining, in said computing system, a frequency-of-occurrence of a plurality of color values; in said computing system, identifying at least one color value associated with a peak frequency-of-occurrence; and in said computing system, associating said at least one color value with an image label, thereby producing an association between said at least one color value and said image label.

20040017487

10391734

1. An image acquiring apparatus comprising: a pixel shifting section which changes the relative position between luminous flux incident on an imaging element and the imaging element to a plurality of specific positions; an imaging section which photographs in at least one of a plurality of specific positions including an initial position; an image creating section which creates a high-resolution new image based on at least one item of image data photographed by the imaging section; and a display control section which displays at least one image photographed by the imaging section before the high-resolution new image has been created.

20030139684

10376799

1. A method of estimating an electrophysiologic response contained in a measured electrophysiologic signal, said method comprising: obtaining a plurality of samples of said measured electrophysiologic signal; defining a plurality of bins, each of said bins corresponding to a range of values of a sorting parameter; for each sample, classifying said sample into one of said bins on the basis of a value of said sorting parameter, said value being associated with said sample; for each bin, maintaining a bin statistic indicative of samples classified into said bin; and estimating said electrophysiologic response on the basis of said bin statistics.

20160322191

15103154

1. A method for measuring and correcting sample drift distortion in a scanning microscopy system, the method comprising: obtaining an image series of a sample acquired using a scanning microscope by rotating scan coordinates of the microscope between successive image frames; determining at least one measurement of an angle or distance associated with an image feature as a function of rotation angle from the series of rotated images; using the at least one measurement to determine a model for drift distortion in the series of images; and using the drift distortion model to generate a drift corrected image from the series of images.

9818037

15014957

1. A method for estimating heading misalignment between a device and a person, wherein the device comprises an optical sensor capable of capturing an image, the method comprising: capturing an image of the person by the optical sensor; extracting at least one physical feature of the person from the image; and estimating a fine misalignment angle between the device and the person using the at least one physical feature of the person extracted from the image, the fine misalignment angle providing a value of the heading misalignment between the device and the person, wherein the heading misalignment is a difference between a heading of the device and a direction of motion of the person.

9020806

13690424

1. A computer-implemented method performed at least in part on at least one processor, comprising: generating a sentence completion question based at least in part on a language model, including locating a sentence based upon data processed in association with the language model; using a class-based maximum entropy N-gram language model to generate a plurality of candidate alternates; providing, by an alternates generator implemented on the at least one processor, the plurality of candidate alternates from which selected alternates are obtained based upon data processed from the class-based maximum entropy N-gram language model; and outputting the sentence completion question and a set of options for completing the sentence completion question, the set of options comprising the selected alternates.

20140253738

13792143

1. A method for calibrating an array camera including a plurality of imaging components where the plurality of imaging components include a reference imaging component and a plurality of associate imaging components associated with the reference imaging component, the method comprising: capturing an image of a test pattern using each of the plurality of imaging components of the array camera; generating scene independent geometric corrections for the image data captured by the reference imaging component using data of the image of the test pattern captured by the reference component and data describing the test pattern using a processor; generating a corrected image of the test pattern for the reference component based on the scene independent geometric corrections for the image data captured by the reference imaging component and the image of the test pattern captured by the reference imaging component using the processor; and generating scene independent geometric corrections for the image data captured by each of the associate imaging components associated with the reference imaging component using the data of image of the test pattern captured by each associate imaging component and the corrected image of the reference component using the processor.

20090220044

12093456

1 - Method of servoing an X-ray source ( 800 ) in a radiography device comprising a MOS-type image sensor ( 810 ) with pixels ( 10 ) provided with separate read ( 30 ) and refreshment ( 20 ) controls, respectively, in which, during a radiography operation, read controls of a plurality of image sensor pixels are called repeatedly, while maintaining a source of X-rays power supplied, so as to establish, in response to each reading, at least one image acquisition characteristic, and in which the emission of X-rays is interrupted when the image acquisition characteristic corresponds to a preset image acquisition characteristic.

9201424

14010937

1. A method comprising: receiving, at a computing device via a camera coupled at an orientation and position to a vehicle autonomously navigating a path in an environment, a plurality of images indicative of a plurality of objects positioned within a threshold distance from the path in the environment of the vehicle during a respective time range; based on the plurality of images, determining, by the computing device, an image-based pose indicative of the orientation and position of the camera; receiving from one or more laser-based sensors coupled to the vehicle as the vehicle navigates the path in the environment, sensor data indicative of an orientation and position of the vehicle relative to the plurality of objects positioned within the threshold distance from the path in the environment of the vehicle during the respective time range; based on the sensor data, determining a sensor-based pose indicative of the orientation and position of the vehicle relative to the plurality of objects in the environment, wherein both the sensor-based pose and the image-based pose correspond to the respective time range; aligning, by the computing device as the vehicle navigates the path in the environment, a camera-based coordinate system of the image-based pose with a vehicle-based coordinate system of the sensor-based pose using one or more of a transform, rotation, and scaling modification; determining an adjustment for the orientation or position of the camera based on the alignment of the camera-based coordinate system of the image-based pose with the vehicle-based coordinate system of the sensor-based pose; and causing, by the computing device as the vehicle navigates the path in the environment, calibration of the camera based on the adjustment.

20140219526

14173482

1. An image analysis device comprising: circuitry configured to: receive one or more input images; detect a plurality of anatomical landmarks on the one or more input images using a pre-determined face model; extract a plurality of geometric and local texture features based on the plurality of anatomical landmarks; select one or more condition-specific features from the plurality of geometric and local texture features; and classify the one or more input images into one or more conditions based on the one or more condition-specific features.

20160170054

14571656

1. A method of wavefield separation comprising: computing a matching operator between pressure sensor and particle motion sensor responses of co-located pressure and particle motion sensors based on pressure and particle motion wavefield measured by the co-located pressure and particle motion sensors and depths of the co-located pressure and particle motion sensors; and computing at least one of up-going pressure wavefield and up-going particle motion wavefield based on the matching operator and the measured pressure and particle motion wavefields.

6023967

08948303

1. A method of measuring tire wear on a tread surface, comprising the steps of: applying a single layer of reflective paint to said tread surface of said tire, measuring an intensity of light reflected from said single layer of reflective paint while said single layer is on said tread surface of said tire to obtain a first light intensity value, then running said tire for a short distance to partially wear said single layer of reflective paint, then remeasuring said intensity of light reflected from said single layer of reflective paint while said single layer is on said tread surface of said tire to obtain a second light intensity value, and comparing said first light intensity value with said second light intensity value.

8494301

12883261

1. A method of providing a refocused image, comprising using a processor to perform the steps of (a) acquiring at least two captured images of a scene with differing focus settings; (b) using the at least two captured images to provide an all-in-focus image; (c) generating a range map from the at least two captured images; (d) locating a region-of-interest (ROI) window from the range map including locating a first centroid of a region-of-interest (ROI) from the range map, refining the first centroid to locate a second centroid of a region of interest (ROI), and locating the region-of-interest (ROI) window from the second centroid and a predefined window shape and size; and (e) providing a refocused image from the all-in-focus image and the region-of-interest (ROI) window.

20020072842

09984425

1. A road friction coefficient estimating apparatus for a vehicle comprising: an actual value estimating means for estimating an actual value of a vehicle motion parameter; a high friction coefficient road reference value estimating means for estimating a high friction coefficient road reference value of said vehicle motion parameter based on a vehicle motion model when said vehicle travels on a road surface with high friction coefficient; and a road friction coefficient estimating means for forming a Lissajou's figure based on said actual value and said high friction coefficient road reference value and for estimating a road friction coefficient according to a gradient and an area of said Lissajou's figure.

8868612

14258505

1. A method, comprising: receiving, at a computing device comprising at least one processor, user input comprising description details of at least one desired object; retrieving at the computing device a plurality of objects from a database sharing one or more of the description details of the user input; constructing a tree data structure based on the description details of the plurality of objects; displaying, via a display of the computing device, visual images associated with the retrieved plurality of objects such that each of the plurality of objects is depicted by at least one corresponding unique visual image; displaying a first predetermined number of selection option choices at a first iteration of the search, wherein the first predetermined number of selection options comprise at least one first visual image and at least one first corresponding attribute at a first level of the tree; receiving at least one selection of one or more of the visual images; displaying a second predetermined number of selection option choices at a second iteration of the search, wherein the second predetermined number of selection options comprise at least one second visual image and at least one second corresponding attribute at a second level of the tree, and wherein the at least one second visual image and the at least one second corresponding attribute are different from those in the first level of the tree; determining whether additional visual images are associated with the tree data structure, the additional visual images not yet provided to the user; if so, displaying the additional visual images associated with the tree data structure to the user; and receiving a user selection of one or more of the additional visual images.

20010041019

09778010

1. A method comprising: obtaining a first set of information representing an artifact to a first degree of quality, obtaining a second set of information representing the artifact to a second degree of quality different from the first degree of quality; determining which of the first set of information and the second set of information represents the artifact to a higher degree of quality and which represents the artifact to a lesser degree of quality; and altering the set of information representing the artifact to a lesser degree of quality, based on the set of information representing the artifact to a higher degree of quality.

8902322

13673642

1. An imaging system, comprising: a support frame; four image sensors carried by the support frame; each image sensor comprising a lens system having an optical axis and a focal plane array aligned with the optical axis of the lens system; each image sensor having a field of view that is at least substantially coterminous with the field of view of each adjacent image sensor; the image sensors arranged so that: the optical axis of each lens system is substantially collinear with a median of a common notional regular tetrahedron; each focal plane array is positioned between the lens system of its respective image sensor and a centroid of the notional tetrahedron; and each image sensor faces outwardly relative to the centroid of the notional tetrahedron.

20090109510

11925034

1. A method for generating a compressed bitmap in a printing environment, the: method comprising: associating a meta-data structure with each portion of a plurality of portions of a bitmap memory wherein each meta-data structure includes a type of data field indicating a type of data associated with said each portion and wherein each meta-data structure includes a data indicator field indicating the data associated with said each portion; processing a sequence of data objects defining the content of the bitmap memory wherein the processing of each data object includes: determining which portions of the bitmap memory would be affected by the data object if written to the bitmap memory; for each affected portion: updating the type of data field of the meta-data structure associated with the affected portion to indicate that the type of data is a “compact” type or a “non-compact” type based on the data object and based on the current type of data; updating the data indicator field of the meta-data structure to represent the data object when the type of data field is updated to indicate a “compact” type of data; and writing a corresponding portion of the data object into the affected portion of the bitmap memory when the type of data field is updated to indicate a “non-compact” type of data; and for each meta-data structure: determining if the meta-data structure indicates a “non-compact” type of data; responsive to a determination that the meta-structure indicates a “non-compact” type of data, generating compressed data of the compressed bitmap from data in the corresponding portion of the bitmap memory; and responsive to a determination that the meta-data structure does not indicate a “non-compact” type of data, generating compressed data of the compressed bitmap based on the data indicator field of the meta-data structure.

20120151405

13354786

1. A method of assessing uncertainty of features in images rendered in a medical visualization system, comprising: accepting user input to apply at least one sensitivity lens to a region of interest of a portion of a visualization of a rendered image; and electronically displaying different visualizations of the portion of the image associated with the region of interest defined by the sensitivity lens to assess uncertainty in the visualization of the rendered image.

9940713

15351471

1. A method for using navigators for inter-scan motion correction during imaging of a subject with a magnetic resonance imaging device, the method comprising: performing an anatomical localizer scan of a region of interest within the subject to identify one or more anatomical landmarks defining orientation of a surrounding field-of-view in the region of interest; performing an inter-scan motion reference scan of the region of interest to acquire a reference inter-scan dataset indicating a location of a reference navigator in the region of interest; performing a plurality of scans of the region of interest within the subject to acquire k-space data, wherein, prior to one or more of the plurality of scans, a motion correction process is performed comprising: performing an inter-scan motion tracking scan to acquire a tracking inter-scan dataset indicating an updated location of the reference navigator in the region of interest, determining an estimation of inter-scan patient motion based on a comparison between the reference inter-scan dataset and the tracking inter-scan dataset, and updating the field-of-view relative to the one or more anatomical landmarks in the region of interest based on the estimation of inter-scan patient motion; and generating one or more images of the region of interest using the k-space data acquired with each of the plurality of scans.

20100146465

12306340

1. Method of optimizing a global integrated circuit layout comprised of a number of polygons having a predetermined geometrical relation relative to each other, comprising: providing an initial global integrated circuit layout; assessing local quality numbers, each as a function of a local pattern of shapes in said initial global integrated circuit layout; aggregating approximated functions of said local quality numbers, to derive an integral quality number associated to said initial global integrated circuit layout; perturbing said integral quality number by varying said initial global integrated circuit layout; and selecting perturbations that optimize improve the integral quality number, so as to optimize said global integrated circuit layout.

9633063

14171702

1. A method comprising: obtaining, by a processing device, redaction data identifying content to be redacted in a document and non-redaction data identifying content not to be redacted in the document; determining, by the processing device, that (i) a phrase from the document is included in one of the redaction data and the non-redaction data and (ii) that a word from the phrase is included in another of the redaction data and the non-redaction data; and producing, by the processing device, a redacted version of the document by applying a conflict resolution rule with respect to the phrase, wherein the conflict resolution rule comprises applying the one of the redaction data and the non-redaction data that includes the phrase and ignoring the other of the redaction data and the non-redaction data with respect to the word in the phrase.

20130058525

13555824

1. An object tracking device that tracks an object included in a frame image, the object tracking device comprising: a storage unit configured to store a template image of an object to be a track target; an image input unit configured to receive a frame image in a time series; a search region setting unit configured to set a search region of the object in a frame image at a present point in time, when a zoom scaling factor of the frame image at the present point in time is different from a zoom scaling factor of a frame image at a previous point in time, based on an object region in the frame image at the previous point in time, zoom center coordinates in the frame image at the previous point in time, and a ratio between the zoom scaling factor of the frame image at the previous point in time and the zoom scaling factor of the frame image at the present point in time; a normalizing unit configured to normalize an image of the search region of the object included in the frame image at the present point in time to a fixed size; and a matching unit configured to search the normalized image of the search region for an object region similar to the template image.

10068385

14969563

1. A processor-implemented method for generating 3-Dimensional (3D) object image variations, the method comprising: receiving, by a processor-based system, a 3D model of an object; synthesizing, by the processor-based system, a color and depth (RGB-D) image pair of the object based on the 3D model; rendering, by the processor-based system, a plurality of RGB-D image pair variations of the object based on the synthesized RGB-D image pair of the object, the rendering comprising at least one of, for each of the variations generating, by the processor, a background scene, adjusting, by the processor, an orientation and translation of the object, adjusting, by the processor, illumination of the object and of the background scene, and adjusting, by the processor, visual effects of the object and of the background scene based on application of simulated camera parameters; and generating, by the processor-based system, an object recognition classifier based on at least a first subset of the rendered RGB-D image pair variations.

20160133079

14928731

1. An image processing device comprising: an image acquisition unit that drives an image sensor, acquires a first image by reading a surface of a medium exposed to a visible first light, and acquires a second image by reading a surface of the medium exposed to an ultraviolet second light; an edge image generating unit that applies an edge-extracting image processing filter to the first image and generates a first edge image, and applies the image processing filter to the second image and generates a second edge image; and a common-edge-removed second image generating unit that detects common edge parts where a first edge extracted in the first edge image and a second edge extracted in the second edge image are at corresponding positions, removes the common edge parts from the second edge image, and generates a common-edge-removed second image.

20130207652

13633908

1. A system for parallel image processing in MR imaging, comprising: a plurality of MR imaging RF coils for individually receiving MR imaging data representing a slice or volume of patient anatomy; an MR imaging system for using the plurality of RF coils for acquiring a corresponding plurality of insubstantially complete image data sets of said slice; and an image data processor comprising at least one processing device conditioned for, deriving a first set of weights for weighted combination of k-space data of said plurality of insubstantially complete image data sets for generating a calibration data set comprising a subset of k-space data of composite image data representing said plurality of image data sets, using said calibration data set in generating a first substantially complete MR image data set, deriving the parameters of a probability distribution in response to said first set of weights and said first MR image data set and deriving a second set of weights and second substantially complete MR image data set together using said probability distribution.

20150124086

14594554

1. An apparatus for tracking an object in three-dimensional space, comprising: a projection surface; a light source disposed in spaced relation to said projection surface; the projection surface and the light source defining there between a volume of space illuminated by said light source; a light sensor responsive to illumination falling on the projection surface and operative to measure illumination levels over a predefined image plane associated with the light sensor, producing a projected image signal; a structured light source that projects a structured light within the volume of space; a structured light sensor adapted to record reflected structured light from objects occupying the volume of space producing a structured light signal; and a correlation processor receptive of the projected image signal and said structured light signal and adapted to compute a hybrid signal indicative of the position of an object within said space.

20170024889

14807448

1. A processor-implemented method to automatically calibrate a static camera in a vehicle, the method comprising: receiving, by a processor, a captured image file; detecting a plurality of vehicles in the captured image file; determining a 2D projected shape, size, location, direction of travel, and a plurality of features for each vehicle within the detected plurality vehicles at various locations in the captured image file; inferring a plurality of geometry scenes associated with the captured image file, wherein the plurality of geometry scenes is inferred based on the determined 2D projected shape, size, location, direction of travel, and the plurality of features of each vehicle within the detected plurality of vehicles as projected onto the captured image file; and calibrating the static camera based on the inferred plurality of geometry scenes associated with the captured image file.

8665345

13110085

1. A digital video camera system comprising: an image sensor configured to capture a digital image; an optical system configured to form an image of a scene onto the image sensor; a storage memory configured to store captured video sequences; and a processing system configured to: capture a video sequence of the scene from the image sensor, the video sequence including a time sequence of image frames; specify reference data separate from a reference in the captured video sequence, wherein the reference data indicates a feature of interest, and wherein the reference data includes information specifying a desired characteristic of the image frames; analyze image frames using a feature recognition algorithm to identify a subset of the image frames that contain the feature of interest and have the desired characteristic; form a video summary including fewer than all of the image frames in the captured video sequence, wherein the video summary includes at least part of the identified subset of image frames containing the feature of interest and having the desired characteristic; and store a representation of the video summary in the storage memory.

7840626

12702934

1. A method for analyzing a spectral image of a sample, comprising: a) measuring a spectral image of the sample with a spectroscopic imaging system, whereby the spectral image is represented by a matrix of spectral image data D; b) factoring the matrix of spectral image data D into the product of a matrix of orthogonal scores vectors T and a matrix of orthonormal loading vectors P using Principal Component Analysis; c) determining a rotation matrix R; d) rotating the matrix of orthonormal loading vectors P to provide a simplified loading matrix {tilde over (P)}, according to {tilde over (P)}=PR; and e) inverse rotating the matrix of orthogonal scores vectors T to provide estimated pure-component spectra {tilde over (T)}, according to {tilde over (T)}=TR −1 , and a spatially rotated data matrix D, according to D={tilde over (P)}{tilde over (T)} T .

20160292062

15065214

1. An apparatus for detection of duplicate bug reports comprising: a receiver module configured to receive first bug report and a word matrix, wherein the word matrix comprises a ranked list of dissimilar duplicate words; an extractor module to extract at least one keyword from the first bug report for creating a first search string; a comparator module configured to compare each of the keywords from the first search string with the word matrix to identify the dissimilar duplicate words corresponding to the keywords; an expander module configured to expand the first search string by including the dissimilar duplicate words for creating a second search string; and a searcher module configured to search a bug report repository with the first search string for detecting similar duplicate bug reports and the second search string for detecting dissimilar duplicate bug reports.

20110044531

12741872

1. A method of extracting depth information from at least two images, the method comprising: acquiring a first image and a second image from a scene; estimating the disparity of at least one point in the first image with at least one corresponding point in the second image to generate a disparity map; segmenting at least one of the first or second images into at least one region; and filtering the disparity map based on the segmented regions.

20060269121

11501843

1. A system for measuring a pattern on a sample, comprising: a data processing system that processes a set of two-dimensional distribution data of intensities from the sample, to calculate: a set of edge points indicative of position of edges of said pattern in a two-dimensional plane from said two-dimensional distribution data; an approximation edge indicative of the edge of the pattern; an edge roughness data by calculating a difference between the set of edge points and said approximation edge; and a correlation between a first portion of the edge roughness data and a second portion of the edge roughness data.

20110207480

13100681

1. A computer-implemented method executed on a mobile communications device, comprising: receiving a name of a location from a user interface; configuring the device for wirelessly accessing a shared image database and causing a search of the shared image database, using as a search criterion the name of the location, for at least one image stored in the shared image database; and displaying on the device a view of one or more images corresponding to the name of the location.

20140063177

13602664

1. A method comprising: establishing a videoconference session between participants at different endpoints, each endpoint comprising at least one computing device and one or more displays; receiving a plurality of video streams at an endpoint, where each video stream comprises video content; classifying each video stream as a classified view comprising at least one of a people view and a data view, wherein the people view includes an image of at least one participant that has been captured by a camera at one of the endpoints, and the data view includes content provided by a computing device at one of the endpoints; analyzing the classified views to determine one or more regions of interest for each of the classified views, wherein at least one region of interest has a size smaller than a size of the classified view; generating synthesized views of at least some of the video streams, wherein the synthesized views comprise at least one view including a region of interest; and rendering views including synthesized views for display at one or more displays of an endpoint device.

20120150433

13396900

1. A method for identifying cross street information, the method comprising: receiving location information from a user, the location information identifying a location of interest; comparing, with a processor, the received location information to information stored in a cross-street database to identify a road segment that corresponds to the location of interest and a first cross street that intersects the road segment; and providing information identifying the road segment and the first cross street for presentation to the user on a display device.

9251192

13307091

1. An information matching apparatus comprising: a processor; and a memory coupled to the processor, wherein the processor executes: calculating matching result values representing identicalness, similarity, and relevance between a plurality of records by matching the plurality of records based on a specified judgment criterion, each of the plurality of records including sets of values corresponding to items; generating frequency distribution information in which the calculated matching result values are used as classes; outputting indices used for evaluating and visualizing a plurality of matching results based on the frequency distribution information generated at the generating, the indices including a histogram of the matching result value; adjusting a threshold corresponding to the specified judgment criterion based on the generated frequency distribution information to generate an adjusted judgment criterion for whether the records match; changing the specified judgment criterion based on an adjusting threshold; outputting the adjusted judgment criterion with the output indices; and re-outputting indices corresponding to the changed judgment criterion.

9008400

14036232

1. A method for generating a matrix to correct artifacts in a magnetic resonance image, said magnetic resonance image being reconstructed from measurement data acquired using a magnetic resonance pulse sequence that comprises activating at least one magnetic field gradient, having a gradient field strength, during radiation of at least one non-selective radio frequency excitation pulse said measurement data being entered into k-space at respective points in k-space, said method comprising: loading an excitation profile into a processor for each excitation pulse used to acquire said magnetic resonance measurement data, said excitation profile representing said gradient field strength as a function of a measurement location at which said measurement data were acquired, and the point in k-space at which said measurement data are entered; and in said processor, from each loaded excitation profile, calculating an element of a transposed, inverted disturbance matrix that corresponds to said location and said k-space point, and making said transposed, inverted disturbance matrix available in electronic form at an output of said processor in a format allowing operation of said transposed, inverted disturbance matrix on said magnetic resonance measurement data to correct artifacts in said magnetic resonance image.

5432886

07832600

1. A speech recognition device comprising: means for supplying an input speech signal; means for converting said input speech signal into an input pattern indicative of features of said input speech signal; a similarity measure calculating unit for calculating primary similarity measures between said input pattern and a first plurality of prepared reference patterns and for selecting a maximum value of said primary similarity measures as a provisional similarity measure; similarity measure calculating means for calculating secondary similarity measures between said input pattern and a second plurality of produced reference patterns produced in compliance with said prepared reference patterns and for selecting a maximum value of said secondary similarity measures as a reference similarity measure; a similarity measure correcting unit connected to said similarity measure calculating unit and said similarity measure calculating means for correcting said provisional similarity measure by modifying said provisional similarity measure by either a difference between said provisional similarity measure and said reference similarity measure or a ratio of said provisional similarity measure and said reference similarity measure and for outputting said corrected provisional similarity measure as a corrected similarity measure; and a normalizing unit connected to said similarity measure correcting unit for normalizing said corrected similarity measure into a normalized similarity measure by a duration of time of said input pattern.

7876320

11791626

1. A face image synthesis apparatus comprising: a storage device configured to store a plurality of face images and a plurality of feature points including an origin and being set to each of the plurality of face images; and a 2D arithmetic processing unit configured to generate a plurality of deformed face images, origins thereof are located in a same position, and the plurality of feature points thereof are located in same positions, by deforming the plurality of face images, and to generate a synthesized face image from the plurality of deformed face images by synthesizing the plurality of face images to each other, wherein the plurality of feature points includes a basing point and a reference point, and the 2D arithmetic processing unit includes: an image scaling section configured to generate a plurality of scaled face images by scaling the plurality of face images based on the plurality of face images and the plurality of feature points to a distance between preset feature points of each of the plurality of scaled face images being same; an image normalizing section configured to calculate a location of the reference point from the origin in each of the plurality of scaled face images based on the plurality of scaled face images and the plurality of feature points, to set a location of the reference point after face image synthesis, and to generate the plurality of deformed face images which are normalized to the reference point of each of the plurality of scaled face images being located in a position of the reference point after face image synthesis; and an image synthesizing section configured to generate the synthesized face image by matching the reference point of each of the plurality of deformed face images and calculating a weighted average of at least one of a color and a luminance by a synthesis ratio for each pixel based on the plurality of deformed face images and the plurality of feature points, and the plurality of feature points includes a first feature point located in first quadrant, a second feature point located in second quadrant, a third feature point located in third quadrant and a fourth feature point located in fourth quadrant from the origin.

9324172

14675744

1. A method of processing images captured using an in vivo capsule camera, the method comprising: receiving a plurality of images captured by the in vivo capsule camera as to-be-processed images; applying large-overlap image stitching to the to-be-processed images, wherein said applying the large-overlap image stitching comprises: generating each of one or more first-stage stitched images by stitching a current to-be-processed image with a previous to-be-processed image or a previously stitched image if a degree of picture overlap between the current to-be-processed image and the previous to-be-processed image or the previously stitched image is larger than a first threshold, wherein the current to-be-processed image is within N1 neighboring to-be-processed images of the previous to-be-processed image or the previously stitch image, and N1 is a positive integer; and generating each of one or more first-stage non-stitched images if the degree of picture overlap between the current to-be-processed image and none of N1 neighboring to-be-processed images is larger than the first threshold; and providing first information associated with said one or more first-stage stitched images if said one or more first-stage stitched images exist and providing said one or more first-stage non-stitched images if said one or more first-stage non-stitched images exist.

8005811

12166082

1. A machine-accessible medium of a document usage system which includes one or more document computer systems in communication with a network, containing instructions effective, when executing in a data processing system, to cause said data processing system to perform operations comprising: receiving a search request from a requesting user on a user computer system, wherein the search request comprises one or more keywords; receiving document utilization information associated with one or more electronic documents to be searched in response to the received search request, the document utilization information providing an indication of the usage of electronic documents by one or more users, the document utilization information comprising an amount of time that users have accessed particular sections of one or more electronic documents; generating search results from a plurality of electronic documents based on both the search request and the received document utilization information, by changing a position of a particular electronic document in the search results based on usage of that particular electronic document relative to other of the plurality of electronic documents, wherein changing the position of the particular electronic document in the search results comprises improving the position of the particular electronic document in the search results in response to determining that a keyword from the search request is included in a section of the particular electronic document that has been accessed by users a longer period of time than other sections of the particular electronic document have been accessed; and transmitting the search results to the requesting user via a network for accessing by the user.

20140257688

13794316

1. A processor-implemented method for estimating a position of a mobile station (MS) the method comprising: identifying a subset of Points of Interest (POIs) in a plurality of POIs by matching MS captured images of each POI in the subset with corresponding stored POI images, each POI being associated with a corresponding visibility map comprising a set of grid points; computing a cumulative grid point weight for a plurality of grid points in the visibility maps associated with the POIs in the subset; and computing an estimated location of the MS based on the cumulative grid point weights of the plurality of grid points.

20070217701

11691418

1. A method for compressing an image comprising pixels, the method comprising: identifying edge pixels using gradient pixels identified in a plurality of pixels selected from the image, in a first low-pass filtered set of the plurality of pixels, and in a second low-pass filtered set of the plurality of pixels; determining an edge pixel type for each of the identified edge pixels; using at least some of the identified edge pixels to label each pixel of the plurality of pixels; using the labeled pixels to identify non-background region pixels; generating a foreground image layer comprising the non-background region pixels; generating a mask layer that identifies which pixels of the foreground image layer should be selected when generating a representation of the plurality of pixels; and compressing the mask layer differently than the foreground image layer.

7823123

11377459

1. A method comprising: providing two or more distinct information systems, each information system containing an information system ontology and corresponding information system data model; providing a context ontology, the context ontology capturing common concepts and relating the various representations of a common concept within the concepts in the distinct information system ontologies; mapping the concepts of each of the two or more information system ontologies to each other and to the concepts within the context ontology; mapping a translator web service ontology representing a translator web service having one or more structured inputs and outputs to the context ontology to create an augmented ontology; providing a service agent to interpret mappings and to reason with mapped ontologies; specifying one or more data instances from a source information system of the distinct information systems as inputs to the translator web service; specifying one or more concepts on a target information system of the distinct information systems as outputs to the translator web service; searching the mapped ontologies for an execution path between the one or more desired input data instances on the source information system and the corresponding output concepts on the target information system, the execution path traversing through concepts of the translator web service ontology; and generating executable code that accepts one or more desired input data instances from a source information system and invokes the execution path to create the corresponding output data instance in the specified target information system.

9589209

15141714

1. A computer-implemented method comprising: aggregating a user image selection into a preference training database for a user account associated with a user, wherein the user image selection represents a record of the user's preference over at least one of adjusted versions of a base image when the adjusted versions are separately processed by visual effects that are different; determining a visual effect preference associated with the user account by analyzing user image selections in the preference training database, wherein the user image selections represent experimental records corresponding to instances of preferences toward at least one of the visual effects, wherein the visual effect preference is an image processing rule that is particular to a context attribute of the base image, and wherein the image processing rule specifies a visual effect process to execute when a digital image is determined to be associated with the context attribute; and updating a photo preference profile associated with the user account with the visual effect preference.

20160253838

14632607

1. A method for rendering, comprising: retrieving, by at least one processor and from a framebuffer, a depth value associated with a pixel; determining, by the at least one processor, whether a fragment depth value associated with a fragment of a splat is within a non-zero offset of the depth value associated with the pixel; and responsive to determining that the fragment depth value associated with the fragment of the splat is within the non-zero offset of the depth value associated with the pixel, outputting, by the at least one processor, updated data for the pixel to the framebuffer based at least in part on data associated with the fragment of the splat.

9633652

13854133

1. A method of speaker dependent speech recognition, comprising: building a universal background model (UBM) for a user responsive to unknown speech from only the user; adapting the universal background model (UBM) to build a single Gaussian Mixture Model (GMM) responsive to a registration code phrase spoken by the user and using the single GMM to generate a code-phrase model (CPM) for the user; generating a longest common sequence (LCS) template for the user from the code-phrase model (CPM), wherein the LCS template is represented by a sequence of an index of a best performing component of the single GMM; utilizing the universal background model (UBM), code-phrase model (CPM) and longest common sequence (LCS) template to determine whether the user is an authorized user and has spoken the registration code phrase, the utilizing including, capturing a test code phrase; accepting the test code phrase as being spoken by the authorized user when the log likelihood ratio between the code-phrase model (CPM) and the universal background model (UBM) is positive; and comparing the Longest Common Sequence (LCS) template with a test code-phrase template for the captured test code phrase.

8378680

12886617

1. A system for concurrent acquisition of an MR anatomical image of an anatomical region of interest and an MR angiogram image of a vessel structure in the region of interest without the use of a contrast agent, comprising: an MR imaging system for, in a first repetition time interval, generating a non-selective magnetization preparation pulse for magnetizing an anatomical volume encompassing blood flowing into a selected slab within the volume for blood signal suppression, generating RF excitation pulses and acquiring a first MR imaging dataset of said selected slab within the volume with a suppressed blood signal and in a second repetition time interval succeeding said first repetition time interval, generating a selected slab magnetization preparation pulse for magnetizing said selected slab, generating RF excitation pulses and acquiring a second MR imaging dataset of said selected slab within the volume; and an image data processor for substantially subtracting imaging data of said first MR imaging data set from said second MR imaging dataset to provide an image enhancing a vessel structure in said selected slab.

20020126002

09799664

1. A detecting device for detecting moving target vehicles from a moving host vehicle, said detecting device comprising: a first detector means mounted to said host vehicle and aligned to a stationary target area for generating at least a first output representative of said stationary target area at least at a time T 1 ; a second detector means mounted to said host vehicle and aligned to said stationary target area for generating at least a second output representative of said stationary target area at least at a time T 2, and a control system to receive said first and second outputs and to compare said first output at T 1 to said second output at T 2 to identify any differences between said outputs, whereby a target vehicle moving in said stationary target area may be detected.

20050069035

10674932

1. A method, comprising: approximating at least one non-power-of-2 element of a matrix as a power-of-2 element such that all elements of a resultant matrix are power-of-2 elements; and encoding video data using the resultant matrix.

20100046797

12464191

1. A method for audience monitoring, comprising: receiving an input of audience imaging information; detecting foreground on the input; performing blob segmentation on the input to generate segmented blobs; and analyzing human presence for at least one segmented blob by determining at least one selected from a group consisting of identifying at least one person, identifying a spatial distribution of at least one identified person, determining a dwell time of at least one identified person, determining a temporal distribution of at least one identified person, and determining a gaze direction of at least one identified person.

8782567

13289731

1. A method for providing recognition of gestures made by a user using a gesture filter representing a gesture, comprising: receiving information indicative of a user motion or pose, the information being captured by a camera; determining from the information that the information is further indicative of a change in the user's fatigue, a change in the user's competence, or a second user replacing the user, and in response, modifying a parameter of the gesture filter; determining an output of the modified gesture filter based on the information; and sending the output to an application.

20110270270

13099418

1. A method for determining an insertion trajectory of a tool for reaching a moving target object prior to its insertion into a tissular matrix, wherein the tissular matrix comprises obstacles, and wherein the target object has an initial position, the method comprising: acquiring images of the tissular matrix; constructing a three-dimensional representation of the tissular matrix from the images; determining coordinates of the initial position of the target object and coordinates of the obstacles; determining at least one potential trajectory of the tool from the coordinates of the obstacles of the tissular matrix and of the coordinates of the initial position of the target object, wherein in the potential trajectory, the tool encounters no obstacles up to the initial position of the target object during insertion; simulating insertion of the tool in the tissular matrix to determine displacement of the target object within the tissular matrix during insertion of the tool up to the initial position of the target object along the potential trajectory; determining a new position of the target object based on the determined displacement; and determining the insertion trajectory for the new position of the target object.

9088886

13800503

1. A method of operating a data processing system to infer demographic information for a user of a wireless communication device, the method comprising: processing a plurality of call detail records (CDRs) to generate a plurality of call graphs having different time slices based on time ranges when data in the CDRs was collected, wherein the call graphs comprise nodes that represent individual callers and edges between the nodes that represent bi-directional communication between the individual callers; identifying neighbors of the user that have a high likelihood of sharing a common demographic attribute with the user based on communication features and structural features among the neighbors on one of the call graphs, wherein the common demographic attribute comprises a similarity of a home location of the user and the neighbors; and identifying a most similar neighbor among the neighbors of the user that has a highest likelihood of sharing the common demographic attribute with the user by at least identifying a neighbor that has a shortest average call duration with the user and a greatest number of common contacts shared with the user.

20170008172

14794648

1. A method to provide grasp point selection for robotic grippers, the method comprising: obtaining a three-dimensional image of an object to be grasped by a robotic gripper; determining two or more sets of candidate grasp points on two or more surfaces of the object based on the three-dimensional image; exerting a local force on each of the candidate grasp points in the two or more sets of candidate grasp points such that a local deformation is caused at or near each candidate grasp point; and selecting a set of grasp points from the two or more sets of candidate grasp points based on a response of a surface area at or near each candidate grasp point to the exerted force.

9984312

15631740

1. An image registration device, comprising: at least one processor configured to execute: an artificial neural network in which a correlation between features is learned; a feature extractor configured to extract, using the artificial neural network, a first feature group from a first medical image and a second feature group from a second medical image; a feature converter configured to convert the extracted second feature group to correspond to the extracted first feature group to obtain a converted group; a register configured to register the first medical image and the second medical image based on the converted group and the extracted first feature group; and a learning device configured to perform an unsupervised learning on the artificial neural network.

20090319451

12374076

1. A method of assigning a test pattern to a class chosen from a predefined set of classes, comprising: calculating a class membership probability for said test pattern; calculating a confidence interval for said class membership probability based upon a number of training patterns in a neighbourhood of said test pattern in a feature space; wherein said number of training patterns in the neighbourhood of the test pattern is obtained from computing a convolution of a density function of said training patterns with a Gaussian smoothing function centred on said test pattern, said density function of the training patterns being represented as a mixture of Gaussian functions.

20060256414

11430413

1. A hologram-reproducing method adapted to obtain a reproduced image by irradiating a hologram-recording material with a reference-light beam so that a reproduction signal-light beam is generated and picking up an image of the reproduction signal-light beam, the hologram-reproducing method comprising the steps of: generating a plurality of reproduced images by irradiating the hologram-recording material with a plurality of reference-light beams; and generating a single reproduced image by performing image processing for the plurality of reproduced images.

20150199964

14600503

1. A method comprising: characterizing, by a computing device, a speech input based on a dynamic noise adaptation (DNA) model reflecting effects of background noise; characterizing the speech input based on a null noise DNA model reflecting a null noise mismatch condition; and performing Bayesian model selection and re-weighting of the DNA model and the null noise DNA model to realize a modified DNA model characterizing the speech input for automatic speech recognition and compensating for noise to a varying degree depending on relative probabilities of the DNA model and the null noise DNA model.

8184870

13029868

1. A subject discriminating apparatus comprising: an image input means for receiving a target image, which is a target of discrimination; a characteristic amount calculating means for calculating at least one characteristic amount, which is employed in discriminating a predetermined subject that includes at least one structural component, from the target image; a first discriminating means for discriminating whether the predetermined subject is included in the target image, by referring to first reference data in which the at least one characteristic amount and discrimination conditions corresponding to the at least one characteristic amount are defined in advance, with the at least one characteristic amount calculated from the target image while the target image is deformed in a stepwise manner within a variance corresponding to a first predetermined allowable range, wherein the first reference data is obtained by learning the at least one characteristic amount within a plurality of sample images, in which at least one of the positions and the positional relationships of the at least one structural component are normalized within the first predetermined allowable range, and a plurality of sample image groups, which are known to not include the predetermined subject, with a machine learning technique; and a second discriminating means for discriminating the positions of the at least one structural component included in the target image, by referring to second reference data in which the at least one characteristic amount and discrimination conditions corresponding to the at least one characteristic amount are defined in advance, with the at least one characteristic amount calculated from the target image while the target image is deformed in a stepwise manner within a variance corresponding to a second predetermined allowable range which is smaller than the first allowable range in the case that the first discriminating means judges that the predetermined subject is included in the target image, wherein the second reference data is obtained by learning the at least one characteristic amount within a plurality of sample images, in which at least one of the positions and the positional relationships of the at least one structural component are normalized within the second predetermined allowable range, and a plurality of sample image groups, which are known to not include the predetermined subject, with a machine learning technique.

9142024

12506798

1. A computer-implemented method comprising: obtaining visual information from a first image of an object, the object comprising at least a first feature and a second feature, each feature having a respective visual marker and a respective inertial sensor attached, the first feature being moveable with respect to the second feature; receiving first position-related information that corresponds to the first image and that is wirelessly transmitted from at least one of the inertial sensors attached to the first and second features of the object; generating an estimated pose of the object using the first position-related information; and generating a refined pose of the object using the estimated pose and the visual information, wherein the refined pose of the object comprises a position of the first feature and a position of the second feature in a virtual representation of the object and wherein generating the refined pose comprises using the estimated pose to provide at least one location to detect at least one of the visual markers.

8958129

14253905

1. A method of forming a screened image comprising: providing a contone image; providing a screening tile structure of M by N cells; providing a dither magnitude curve; providing a spot function for each of the cells in the screening tile; providing a displacement vector for each of the cells in the screening tile; constructing threshold values for each of the cells by displacing the center of each cell spot function according to the displacement vectors and according to the dither curve; constructing a halftone image from the contone image and the screening tile by comparing value of each pixel from the contone image to a corresponding threshold value from the screening tile; and if the pixel value exceeds the threshold value set a corresponding pixel in the halftone image to one otherwise set the corresponding pixel in the halftone image to zero.

10062099

14340970

1. A non-transitory computer readable medium comprising instructions which, when executed by one or more devices, causes performance of operations comprising: obtaining a first image, of a particular product, taken by a device operated by a user; identifying a first physical location of the device when the image was taken by the device; identifying a subset location of the device based on location data associated with the first image, wherein the subset location is within the first physical location; based on the subset location and map information of the first physical location, filtering a set of images corresponding to a plurality of products to obtain a first subset of images that are stored in association with the first physical location; comparing the first image to the first subset of images to identify a product, from the plurality of products, that matches the particular product.

9588962

14663797

1. A method comprising: receiving, by an interface from a user, a definition of an instance of a concept, wherein the instance is specific to a particular field of knowledge of the user; in response to receiving the definition, generating, by a hardware processor, a user ontological model based on the definition, wherein the user ontological model is created for the user and the particular field of knowledge of the user, wherein a main ontological model provided to the user does not comprise ontological objects specific to the particular field of knowledge, wherein the user ontological model and the main ontological model are for use in natural language processing of natural language text, wherein the user ontological model comprises an instance structure that is based on the definition, and wherein the instance structure has an identifier; accessing a semantic-syntactic tree generated from a text provided by the user, wherein the semantic-syntactic tree comprises a plurality of connected nodes, and wherein at least one node among the plurality of connected nodes comprises a reference to the identifier of the instance structure; identifying the instance structure in the user ontological model based on the reference to the identifier in the semantic-syntactic tree; in response to identifying the instance structure, generating a first information object for the node in the semantic-syntactic tree based on the instance structure; and performing, by the hardware processor, natural language processing of the text based on the first information object.

9164014

14376552

1. A thin section fabrication apparatus, comprising: an epi-imaging data acquisition unit that radiates epi-illumination, performs imaging on a surface of an embedding block in which a biological sample is embedded, and acquires imaging data; a diffusion imaging data acquisition unit that radiates diffusion illumination, performs imaging on the surface of the embedding block, and acquires imaging data; an exposed shape extraction unit that extracts an exposed shape of an exposure portion of the biological sample which is exposed to a surface of the embedding block, based on the imaging data acquired by the epi-imaging data acquisition unit; an embedded shape extraction unit that extracts an embedded shape of an embedding portion of the biological sample which is embedded in the embedding block, based on the imaging data acquired by the diffusion imaging data acquisition unit; and a control unit that determines ending of the preliminary cutting by comparing the exposed shape extracted by the exposed shape extraction unit and the embedded shape extracted by the embedded shape extraction unit, and controls an operation of the preliminary cutting.

7583808

11091027

1. A computer implemented method for constructing a location model, the location model for locating and tracking sources of acoustic signals, comprising a processor for performing steps of the method, comprising the steps of: acquiring, with an array of microphones placed at unknown positions in an environment, an acoustic training signal from an acoustic training source at an unknown location in the environment, each microphone acquiring one acoustic training signal; extracting, from each acoustic training signal, relative acoustic features; constructing a location model, in which a mean μ and variance σ 2 of the location model is determined using an expectation-maximization process; and training the location model with the relative acoustic features.

20140125792

14233182

1. A bead filler inspection apparatus comprising: an imaging section that captures an image of a join portion of a bead filler formed by being wound onto a rotating support body and joined, and a region containing a boundary between an outer edge of the bead filler and the support body; an edge detection section that detects an edge corresponding to the boundary between the outer edge of the bead filler and the support body based on an image obtained by the imaging section; a computation section that computes distances between a reference model line, that runs along the rotation direction of the support body and is determined based on an edge detected by the edge detection section, and each respective point on the edge present in a region containing the join portion; and a determination section that performs good/no-good determination on the join portion based on the distances.

20150310028

14791300

1. A method for intelligent media naming comprising: a computing device, comprising hardware and software that the hardware executes, identifying a plurality of media files within a data store, each of the media files lacking user established file names; the computing device analyzing the plurality of media files for images to automatically recognize faces within image content of the media files using a facial recognition program; the computing device analyzing the plurality of media files for audio to automatically recognize voices within audio content of the media files using a speaker identification recognition or speaker identity verification program; the computing device based upon the recognized faces and voices generating a plurality of different content identification keywords for naming the media files, wherein the content identification keywords vary based on identities of humans with the recognized faces and voices; the computing device establishing a filename prefix for the media files using scored and ranked content identification keywords; for at least a subset of the media files with a common filename prefix, automatically determining a filename suffix for the subset of media files and automatically concatenating the filename prefix and a filename suffix to create a unique file name for each of the subset of the media files; automatically generating a unique file name for each of the media files, wherein each unique file name includes the established filename prefix, and wherein for the subset of media files the unique file names includes the concatenation of the established filename prefix and the unique filename suffix.

7586496

11745893

1. A computer-implemented method of reducing a number of texture samples used for anisotropic texture map filtering, the method comprising: receiving a logratio value based on a logarithm of a minor axis of an elliptical representation of a pixel in texture space and a logarithm of a major axis of the elliptical representation; modifying the logratio value by applying a bias to produce a first-modified logratio value; determining a first number of texture samples based on the first-modified logratio value; reading the first number of texture samples from a first texture map stored in a memory; computing a filtered texture value based on the first number of texture samples; and applying the filtered texture value to a pixel in a display image.